benmack/oneClass: One-class classification in the absence of test data

Version 0.5.0

oneClass implements the one-class classifiers one-class SVM,
biased SVM, and Maxent, as custom functions for the train function
of the package caret.
Thus, the extensive infrastructure of the caret package can be used
for training and analyzing one-class classification models.
The infrastructure is further extended by one-class classification
specific tools which should help the which are useful to
understand and thus improve one-class classifier outcomes in the
absence of a representative and complete test data.
The package is developed for one-class land cover classification and
also handles raster data.